Industry .

How data modernization maximizes business value?

Paul Scott-Murphy, Chief Technology Officer, Cirata

If you're tasked with delivering greater business value from your data, you can achieve this more easily efficiently and with better outcomes by modernizing your data architecture.

Data analytics, machine learning, and artificial intelligence approaches have moved away from proprietary monolithic systems to open decoupled platforms that benefit from storage, scalable compute, and modern cloud native technologies.

Taking advantage of them means getting your data and metadata to the cloud and making it usable there. You might also want to be free to choose among any of the cloud platforms and analytics technologies to avoid lock-in, and benefit from new technologies in the future. Data migrator is an automated, scalable, high performance, and cloud agnostic data integration solution, that makes your data available in, and immediately usable across on premises and cloud environments.

Subscribe for updates

Please try again.

Thank you for subscribing to Cirata's blogs. When new blogs are published, we will send you updates.

Check out our other recent blogs

What does the next 12 months hold for AI?

As we enter a new year, AI feels very different from where it was even twelve months ago. The excitement hasn’t gone away, but it has been tempered by something far more important.

Why most AI projects fail, and how yours can succeed

We need to have an honest conversation about AI. In boardrooms across the world, excitement about AI is palpable. Leaders are envisioning smarter operations, predictive insights, and automated efficiencies. The potentia...

Don't let AI debt derail your innovation

What is AI debt? No, it’s not what your organization paid to utilize AI agents or products. Example: Your organization is racing toward the next AI breakthrough, but an invisible burden is holding you back. It’s a quiet...